The Concentration in Artificial Intelligence in Healthcare is open to all PhD and MD-PhD students from all MCGSBS training programs to provide the opportunity to integrate Cancer coursework into their degree plan and inform their thesis research.
- David R. Holmes, III Ph.D., Program Director
Eligible learners may declare concentration using the appropriate form. See Concentration Declaration Procedure. By declaring a concentration through this procedure, the concentration will appear on a student's academic transcript. Students may only declare established concentrations and must be in a degree seeking program to declare a concentration. Students may only declare one official concentration.
Course Work
The curriculum for the Concentration consists of 12-14 credits. The student must complete all of the required courses listed below:
Course Requirements
Course List
| Code |
Title |
Hours |
| CTSC 5300 | Foundations of Epidemiology | 1 |
| CTSC 5350 | Ethical Issues in Artificial Intelligence and Information Technologies | 1 |
| AIHC 5020 | Introduction to Data | 3 |
| AIHC 5030 | Introduction to Deployment, Adoption & Maintenance of Artificial Intelligence Models/Algorithms | 2 |
| AIHC 6000 | Independent Study in Artificial Intelligence in Healthcare | 1-3 |
| Total Hours | 8-10 |
Elective Courses
Students have the option to complete these courses within a given degree plan. A minimum of 2 credits from each category are required.
Course List
| Code |
Title |
Hours |
| Introduction to Machine Learning | |
| Deep Learning for Medical Imaging | |
| Applied Data Science and Artificial Intelligence in Pharmacology | |
| Fundamentals of Statistics for Artificial Intelligence | |
| Statistics: Linear Regression Concepts, Interpretation, and Statistical Software | |
| Total Hours | 4-6 |
Independent Study
The independent study is an opportunity to demonstrate the integration of knowledge from the concentration courses. Through the independent study with one of the faculty of the AIHC track, the learning will complete a project or writeup related to the use of AI in their scientific domain. The faculty and learner will meet at the beginning of the term to define the specific learning objectives and academic output from the Independent Study.
